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Relevant and invariant feature selection of hyperspectral images for domain generalization

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11564089_7openalex-snapshot
Measuring Statistical Dependence with Hilbert-Schmidt Norms
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/lgrs.2010.2041896openalex-snapshot
Remote Sensing Feature Selection by Kernel Dependence Measures
inferredcites →https://doi.org/10.1109/tgrs.2004.842481openalex-snapshot
Investigation of the random forest framework for classification of hyperspectral data
inferredcites →https://doi.org/10.1109/tgrs.2009.2019636openalex-snapshot
A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability
inferredcites →https://doi.org/10.1145/1273496.1273600openalex-snapshot
Supervised feature selection via dependence estimation
inferredcites →https://doi.org/10.1145/1553374.1553497openalex-snapshot
Hilbert space embeddings of conditional distributions with applications to dynamical systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4188299openalex-extracted
Relevance, Redundancy, and Regularization: Penalized Regression and the Quest for the ℓ₀ Quasi-Norm
inferred← citeshttps://doi.org/10.1007/978-3-319-19258-1_28openalex-snapshot
Domain Generalization Based on Transfer Component Analysis
inferred← citeshttps://doi.org/10.1007/s11063-017-9612-8openalex-snapshot
Multi-Domain Transfer Component Analysis for Domain Generalization
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00196openalex-snapshot
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00222openalex-snapshot
FrogDogNet: Fourier Frequency Retained Visual Prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
inferred← citeshttps://doi.org/10.1109/igarss.2015.7325808openalex-snapshot
L2,0-norm regularization based feature selection for very high resolution remote sensing images
inferred← citeshttps://doi.org/10.1109/jstars.2017.2697417openalex-snapshot
A Novel Multiple Kernel Learning Framework for Multiple Feature Classification
inferred← citeshttps://doi.org/10.1109/lgrs.2021.3061726openalex-snapshot
Multisource-Domain Generalization-Based Oil Palm Tree Detection Using Very-High-Resolution (VHR) Satellite Images
inferred← citeshttps://doi.org/10.1145/3627631.3627669openalex-snapshot
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
inferred← citeshttps://doi.org/10.1177/14613484221118997openalex-snapshot
Hybrid feature selection method for SVM classification and its application for fault diagnosis of wear and peeling in journal bearing with a little muddy water using long-term real data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5006431/v1openalex-snapshot
Predicting software defects: a comprehensive analysis of machine learning approaches
inferred← citeshttps://doi.org/10.3390/rs14174380openalex-snapshot
The Eyes of the Gods: A Survey of Unsupervised Domain Adaptation Methods Based on Remote Sensing Data
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